minivision-ai/Silent-Face-Anti-Spoofing

静默活体检测(Silent-Face-Anti-Spoofing)

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Established

This helps determine if a face presented to a camera is real or a fake (like a photo or mask), without requiring the user to perform any actions. It takes a live camera feed of a face as input and outputs a determination of 'real' or 'spoof,' along with a confidence score. This is ideal for anyone managing identity verification systems, such as for secure access control, online banking, or user authentication in various applications.

1,658 stars. No commits in the last 6 months.

Use this if you need to integrate a passive, real-time liveness detection feature into an application to prevent fraud from spoofed faces.

Not ideal if your application requires active user participation for liveness detection (e.g., asking users to blink or turn their head).

identity-verification fraud-prevention access-control biometrics user-authentication
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

1,658

Forks

520

Language

Python

License

Apache-2.0

Last pushed

Oct 03, 2023

Commits (30d)

0

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